Payments Over €20,000 Q3 2018

Spending records

Payment date^*	Supplier	Description	Kind	Amount
16 Aug 2019	GH Investments	Ltd Rent and Managed	Purchase Order	€102,983.25
26 Sep 2018	Cambridge Economic	Policy Ass. Professional Services	Purchase Order	€30,621.96
05 Sep 2018	Cambridge Economic	Policy Ass. Professional Services	Purchase Order	€28,737.60
05 Sep 2018	OECD/IEA	Professional Services	Purchase Order	€100,000.00
16 Aug 2018	Mason Hayes &	Curran Legal Services	Purchase Order	€89,086.01
09 Aug 2018	Willis Risk Services	Professional Services	Purchase Order	€62,739.01
02 Aug 2018	NERA UK Limited	Professional Services	Purchase Order	€42,086.51
26 Jul 2018	Arthur Cox	Legal Services	Purchase Order	€38,667.85
26 Jul 2018	Cambridge Economic	Policy Ass. Professional Services	Purchase Order	€49,177.60
19 Jul 2018	Byrne O Cléirigh	Professional Services	Purchase Order	€25,750.00
19 Jul 2018	Benchmark Property	Rent and Managed	Purchase Order	€41,167.15
11 Jul 2018	DNV GL Limited	Professional Services	Purchase Order	€31,016.00
05 Jul 2018	Audata Ltd.	Professional Services	Purchase Order	€26,252.02
05 Jul 2018	South Dublin County	Council Rates	Purchase Order	€31,981.95

^* Payment date may be the end of the reporting quarter when the entity does not publish an exact date.

How to read these figures

These are reported values from published purchase order and payment records — not verified cash paid, and not total spending by this organisation. A row may be a purchase order, a payment, or another reported transaction; the source files often do not say which.

Coverage and quality vary. Some fields are blank, supplier names are free text (the same firm can appear under many labels), and descriptions are inconsistent rather than a controlled taxonomy. An amount alone says nothing about value for money and it may or may not include VAT.

Records are retrieved from each organisation’s published files such as spreadsheets, PDFs, and other formats of uneven quality. Extraction techniques (including automated parsing) can introduce gaps, misreads, or incomplete rows when source layout or quality is poor. Treat the data as a starting point for investigation, not a definitive ledger.

Here is a project that encountered similar issues